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11th International Conference on Informatics, Environment, Energy and Applications, IEEA 2022 ; : 25-29, 2022.
Article in English | Scopus | ID: covidwho-1973912

ABSTRACT

With the Covid-19 pandemic outbreak, the demand for high-quality, low-cost, and safe use equipment for disinfecting hospitals, offices, schools, restaurants, supermarkets, etc., is growing. Although for years it has been known that the ozone produced by the UV-C technology irradiation is highly germicidal, its commercial use for enclosed spaces disinfection as a source of bacteria and viruses' infections is recent. Motivated by the above, this article introduces a low-cost ozone and UV-C light-emission portable device to satisfy the growing demand for disinfection of enclosed and unoccupied spaces. gLAMP, the proposal of this work, offers users a safe-to-use disinfection process by incorporating a pair of sensors into the design to measure air quality, keep users out of the risk area and streamline the ozone diffusion and ventilation processes in the area to be disinfected. As well as a mobile application to control and monitor the equipment and disinfection service remotely. Preliminary tests were carried out to verify the functionality of gLAMP and its potential commercial impact. © 2022 ACM.

2.
1st International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020 ; : 33-37, 2020.
Article in English | Scopus | ID: covidwho-1437944

ABSTRACT

The epidemiological outbreak of a novel coronavirus (2019-nCoV or Covid-19) in China, and its rapid spread, gave rise to the first pandemic in the digital age. Derived from this fact that has surprised humanity, many countries started with different strategies in order to stop the infection. In this context, one of the greatest challenges for the scientific community is monitoring (real time) the global population to get immediate feedback of what is happening with the people during this public health contingency. An alternative interesting and affordable for the materialization of the aforementioned is the social media. In a social network, the people can act as sensors that provide information not only of personal data, including health, but also data derived from their behavior. This paper aims to analyze the publications of people in Mexico using a text mining approach. Specifically, Mexico City is presented as a case study to help understand the impact on society of the spread of Covid-19. © 2020 IEEE.

3.
Studies in Systems, Decision and Control ; 358:257-294, 2021.
Article in English | Scopus | ID: covidwho-1340307

ABSTRACT

The oubtreak of coronavirus, name coined by World Health Organization (WHO) and declared pandemic in March 2020, has enormously impacted differents sectors of countries such as health, economy, education, politics, society, etc. Currently, scientists groups are working to develop a vaccine to strengthen immunological system against Covid-19. During the pandemic, governments promote partial, total lockdowns to prevent Covid-19 proliferation. Then, people was forced to stay at home, ration expenses, lost their job and some companies closed because of the low demand of their services/products. Therefore, academical people can study the pandemic and its effects from economic, health, social fields. The aim of this chapter is collect what was studied from January to July, discuss and contribute with extra analysis in Latin American region. Besides, motivate/promote the community to get involved on this main topic: Covid-19 impact in Latin America. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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